Adaptive Compression of Images Using High-order Entropy Coding

Adaptive Compression of Images Using High-order Entropy Coding PDF Author: Steve Shu Yu
Publisher:
ISBN:
Category :
Languages : en
Pages : 278

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Adaptive Compression of Images Using High-order Entropy Coding

Adaptive Compression of Images Using High-order Entropy Coding PDF Author: Steve Shu Yu
Publisher:
ISBN:
Category :
Languages : en
Pages : 278

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Adaptive Compression of Images

Adaptive Compression of Images PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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We propose an adaptive compression enhancement scheme for images, that faithfully preserves edges that exist at certain scales. The image gradient is decomposed in a wavelet basis to locate edges at specific scales. Based on their location, the corresponding wavelet coefficients in the wavelet decomposition of the image are earmarked for preservation. A scale-space localized implementation of the gradient operator is derived in the wavelet transform domain, based on the Lemarie-Rieusset diagonalization of the derivative operator for functions of one variable. By decomposing an image with respect to a standard biorthogonal wavelet basis, we succeed in obtaining the gradient (edge) information in the image (with respect to associated hybrid biorthogonal wavelet bases) at certain desired scales only. There are several advantages to and applications of such a localized implementation of the gradient, apart from its computational efficiency. Adaptive compression of images based on edge-strengths at specific scales becomes possible, so that compression can be less in the neighborhood of edges at those scales at which its characteristics are best represented. Such preferential compression capability is useful for the compression of vast databases of oceanographic and astronomical images; faint edges characterizing interfaces between warm and cold ocean currents in satellite oceanographic images, and boundaries between interstellar dust and nebulae of subtly varying luminosities in astronomical images are important image features that need to be preserved with minimum distortion, while achieving significant compression in other parts of these images that correspond to known features such as land-ocean boundaries or familiar stars.

Histopathological Image Analysis in Medical Decision Making

Histopathological Image Analysis in Medical Decision Making PDF Author: Dey, Nilanjan
Publisher: IGI Global
ISBN: 1522563172
Category : Medical
Languages : en
Pages : 360

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Book Description
Medical imaging technologies play a significant role in visualization and interpretation methods in medical diagnosis and practice using decision making, pattern classification, diagnosis, and learning. Progressions in the field of medical imaging lead to interdisciplinary discovery in microscopic image processing and computer-assisted diagnosis systems, and aids physicians in the diagnosis and early detection of diseases. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image technologies and feature extraction procedures within the medical field. Featuring coverage on a broad range of topics such as image classification, digital image analysis, and prediction methods, this book is ideally designed for medical professionals, system engineers, medical students, researchers, and medical practitioners seeking current research on problem-oriented processing techniques in imaging technologies.

Adaptive Compression Algorithm for Full Colour Three Dimensional Integral Images

Adaptive Compression Algorithm for Full Colour Three Dimensional Integral Images PDF Author: Ramona Zaharia
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Intelligent Image and Video Compression

Intelligent Image and Video Compression PDF Author: David Bull
Publisher: Academic Press
ISBN: 0128203544
Category : Technology & Engineering
Languages : en
Pages : 610

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Book Description
Intelligent Image and Video Compression: Communicating Pictures, Second Edition explains the requirements, analysis, design and application of a modern video coding system. It draws on the authors' extensive academic and professional experience in this field to deliver a text that is algorithmically rigorous yet accessible, relevant to modern standards and practical. It builds on a thorough grounding in mathematical foundations and visual perception to demonstrate how modern image and video compression methods can be designed to meet the rate-quality performance levels demanded by today's applications and users, in the context of prevailing network constraints. "David Bull and Fan Zhang have written a timely and accessible book on the topic of image and video compression. Compression of visual signals is one of the great technological achievements of modern times, and has made possible the great successes of streaming and social media and digital cinema. Their book, Intelligent Image and Video Compression covers all the salient topics ranging over visual perception, information theory, bandpass transform theory, motion estimation and prediction, lossy and lossless compression, and of course the compression standards from MPEG (ranging from H.261 through the most modern H.266, or VVC) and the open standards VP9 and AV-1. The book is replete with clear explanations and figures, including color where appropriate, making it quite accessible and valuable to the advanced student as well as the expert practitioner. The book offers an excellent glossary and as a bonus, a set of tutorial problems. Highly recommended! --Al Bovik - An approach that combines algorithmic rigor with practical implementation using numerous worked examples - Explains how video compression methods exploit statistical redundancies, natural correlations, and knowledge of human perception to improve performance - Uses contemporary video coding standards (AVC, HEVC and VVC) as a vehicle for explaining block-based compression - Provides broad coverage of important topics such as visual quality assessment and video streaming

Adaptive Compression of Multisensor Image Data

Adaptive Compression of Multisensor Image Data PDF Author: Ernesto Raul Cespedes
Publisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 192

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Adaptive Compression of Bi-level Halftone Images Using the JBIG Arithmetic Coder

Adaptive Compression of Bi-level Halftone Images Using the JBIG Arithmetic Coder PDF Author: S. Forchhammer
Publisher:
ISBN:
Category :
Languages : en
Pages :

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PNG

PNG PDF Author: Greg Roelofs
Publisher: O'Reilly Media
ISBN:
Category : Computers
Languages : en
Pages : 362

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From a senior researcher who helped design the PNG image format comes a guide that focuses on implementing PNG with the libpng C library and discusses improvements, such as gamma correction and the standard color spaces for precise reproduction of image colors on a wide range of systems.

Report IT.

Report IT. PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Adaptive Source Models for Reversible Compression of Digitized Images

Adaptive Source Models for Reversible Compression of Digitized Images PDF Author: Keshi Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 224

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